Model training method, information display method and device

Abstract

The invention discloses a model training method and an information display method and device. The method specifically includes obtaining a training sample from a pre-constructed sample set, and determining associated multimedia information corresponding to the target multimedia information; then, determining text features corresponding to the text information; performing semantic enhancement on the target multimedia information through the associated multimedia information to determine semantic features corresponding to the target multimedia information; on the basis of the features, determining the correlation degree between the text information and the target multimedia information through a to-be-trained matching model; and training the matching model according to the correlation degree and the label information corresponding to the training sample. Therefore, after the trained matching model is utilized, the multimedia information with the highest association degree with the text information can be selected as the multimedia information corresponding to the object described by the text information, so that a relatively high matching degree between the selected multimedia information and the text information is ensured.

Description

technical field [0001] This description relates to the field of computer technology, and in particular to a method for model training, a method and a device for information display. Background technique [0002] With the rapid development of information technology, a large number of application scenarios have emerged in recent years that require the platform to independently select information and combine display according to requirements, such as selecting the most suitable picture for news, capturing the best cover for video, and screening the most relevant information for merchants. Display pictures (such as avatars), etc. In these scenarios, information is often displayed to users in the form of a combination of text and images, so that users can more easily obtain the required information from the displayed information and get a better browsing experience. experience. [0003] At present, when the platform selects a picture for a text, it will rate the candidate pictur...

AI Technical Summary

Problems solved by technology

At this time, there may be a problem that the selected picture cannot accurately reflect the content of the text. For example, a foot massage shop has uploaded a beautiful scenery picture. It will be impossible to know the service content of the store from the picture information, which will cause trouble for users to obtain information

[0004] Therefore, in the existing picture selection scheme, there is a problem that the picture selected for the text cannot truly reflect the content expressed by the text information, that is, the problem of low matching between the picture selected for the text and the text

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